Yigang Jiao, Li Zhang, Jun Li, Yuqi He, Xin Zhang, Jingzhe Li
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引用次数: 17
Abstract
Background: microRNAs (miRNAs) are non-coding RNAs with important roles in the progression of human cancers, including gastric cancer. Exosomes are extracellular vesicles, which could transfer numerous noncoding RNAs, such as miRNAs. Here, in our study, we intended to investigate the role of exosomal miR-122-5p in gastric cancer progression.
Methods: Exosomes were isolated utilizing commercial kit or ultracentrifugation. Biomarkers of exosomes or epithelia-mesenchymal transition (EMT) were monitored by western blot. Expression levels of miR-122-5p and G-protein-coupled receptor kinase interacting protein-1 (GIT1) were evaluated by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) or western blot. Cell proliferation and apoptosis were assessed by colony formation assay, methyl thiazolyl tetrazolium assay and flow cytometry. Cell metastasis was evaluated via Transwell assay. The interaction between miR-122-5p and GIT1 was validated by dual-luciferase reporter assay. Furthermore, tumor growth in vivo was detected by xenograft assay.
Results: Exosomes were successfully isolated. MiR-122-5p was downregulated in exosomes derived from the serum of gastric cancer patients. Exosomal miR-122-5p could hinder gastric cancer cell proliferation and metastasis in vitro and tumor growth in vivo. Knockdown of GIT1 also inhibited gastric cancer cell proliferation and metastasis. Exosomal miR-122-5p targeted GIT1 to alter cellular behaviors of gastric cancer cells.
Conclusion: Exosomal miR-122-5p suppressed gastric cancer progression by targeting GIT1.
期刊介绍:
IJBM is an international, online only, peer-reviewed Journal, which publishes original research and critical reviews primarily focused on cancer biomarkers. IJBM targets advanced topics regarding the application of biomarkers in oncology and is dedicated to solid tumors in adult subjects. The clinical scenarios of interests are screening and early diagnosis of cancer, prognostic assessment, prediction of the response to and monitoring of treatment.